Triple
T29393799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NWI |
E745439
|
entity |
| Predicate | hasWebsiteOfAirport |
P49723
|
FINISHED |
| Object | https://www.norwichairport.co.uk/ |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: https://www.norwichairport.co.uk/ | Statement: [NWI, hasWebsiteOfAirport, https://www.norwichairport.co.uk/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWebsiteOfAirport Context triple: [NWI, hasWebsiteOfAirport, https://www.norwichairport.co.uk/]
-
A.
hasAirportWebsite
chosen
Indicates that an airport has an associated official website.
-
B.
hasAirportAccessTo
Indicates that one location or entity has direct access to another via an airport connection or service.
-
C.
airportLinkName
Indicates the name assigned to a transportation link or connection associated with an airport.
-
D.
hasEndpointAirport
Indicates that something, such as a route or flight, has a specific airport as one of its terminal endpoints.
-
E.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 2:44 p.m.